Optimal dispatch of integrated energy system with P2G considering carbon trading and demand response.

Abstract

How to maintain the economic and low-carbon operation of the integrated energy system (IES) while taking into account the interests of the user side is of great significance to promote the large-scale development of IES. For this reason, this paper takes IES with the electricity-to-gas device as the research object and first constructs a demand response model that takes into account the user's energy experience and a reward and punishment ladder carbon trading model. Second, an IES game optimization framework considering carbon trading and demand response is proposed. On this basis, taking the operators and users of the integrated energy system as the main players of the game, a two-level game optimization scheduling model is constructed to synchronously improve the economic, low-carbon, and satisfactory operation of IES, and the proposed model is solved by the combination of particle swarm optimization and CPLEX. Finally, the simulation shows that the proposed model can effectively enhance the benefits of both supply and demand while reflecting the user response behavior more realistically.